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Lari Hämäläinen
McKinsey Digital & Analytics
Managing Partner, Finland
November, 2017
From Defender to an
Attacker – Call to
Arms for Finland
2McKinsey & Company
Reinventing the Core
Data	and	
Analytics
Commercial
processes
Operations	
processes
Back	office	
processes
What is “Digital”
Digital is a new way of
operating that materially
improves performance by
incorporating analytics,
process digitization &
mobile, and automation into
day to day interactions with
customers, employees,
suppliers, and partners
§ New Businesses
§ New Channels
§ New Products
§ Value-added Services
Reimagining New Business Models
§ Extreme winners and
losers by industry
§ Radically reshaped
customer to company
interactions
§ Dramatically lower
cost base driven by
technology/labor
tradeoffs across
“processes”
§ Value transfer to
the customer
§ Dislocations in the
“role of the worker”
The impact of digital
Digitalization
3McKinsey & Company
Eric Schmidt, Chairman Google
Section 1
“I’ll bet the rest of my
professional career that
the future of your business
is digital, big data and
machine learning”
Eric Schmidt, Chairman of Google
3McKinsey & Company
Observation #1: Technology change is exponential
3D printing
2007 2014
40,000
100
400x
Solar
1984 2014
30.00
0.16
200x
DNA
sequencing
2007 2014
10,000,000
1,000
10,000x
Industrial
robots
2008 2013
500,000
22,000
23x
Sensors
2009 2014
20,000
250
250x
Drones
2008 2013
100,000
700
142x
4McKinsey & Company
5McKinsey & Company
Observation #2: We continue on exponential computing curve
Calculations/
second/
USD 1,000
1060
1055
1050
1045
1040
1035
1030
1025
1020
1015
1010
105
1
10-5
10-10
1900 1920 1940 1960 1980 2000 2020 2040 2060 2080 2100
All human brains
1 human brain
1 mouse brain
1 insect brain
Development of intelligent machines
Machine
Learning
Computer
Vision
Language Virtual
Assistants
5% 5% 5%
20%
2009 2015
<6%
1997
Speech Recognition Error Rate
Deep
Learning
SOURCE: MMC Ventures; Nvidia; Internet research
5%5%5%
11%
28%
2010
<5%
Image Recognition Error Rate
Deep
Learning
Computer
Human
Observation #3: AI and automation are fundamentally
changing the way we interact
Robotics Language Computer
Vision
6McKinsey & Company
2013 2015
7McKinsey & Company
Observation #4: Investments into AI fueled by tech giants
and North America – Europe falling behind
Al investments
USD bn, 2016
~30 ~10Large
Tech
VC & PE
AI external investments including VC, PE
and M&A by corporations, 20161
USD bn (estimate)
SOURCE: Capital IQ; Pitchbook; Dealogic; S&P; McKinsey Global Institute analysis
1 Estimates consist of annual VC investment in AI-focused companies, PE investment in AI-related companies, and M&A done by corporations. Includes only disclosed data available in
databases, and assumes that all registered deals were completed within the year the transactions were announced.
North
America
AsiaEurope
8.0
1.7
2.5
SOURCE: McKinsey Global Institute
Observation #5: Finland is still in the early days of AI
while being one of the early adopters
AdoptionofAIacrossinstitutions
8McKinsey & Company
At scale across
organization
Piloting
At scale in
some parts
Not at all
41%
60%
34%
26%
22%
10%
3%
4%
Finland
United States
Section 2
“The trouble is you
think you have time”
9McKinsey & Company
10McKinsey & Company
Digitalization has been value destroying -6%
Revenue
-12%
EBIT
The digital leaders widen the gap +7%
Revenue growth
+2%
EBIT
Early movers have the advantage +6%
Revenue growth
+4%
EBIT
“Winner takes it all”
SOURCE: McKinsey Global Institute
11McKinsey & Company
-4.5
-6.0
-10.2
-12.1
1 Estimated effect via regression on EBIT and revenue growth of disruption
Revenue EBIT
SOURCE: MGI; McKinsey Digital Global Survey
Effect 2013–16
% growth
Rule #1: Digital destroys value for the incumbents…
Expected effect 2016–20
% growth, estimated1
Revenue EBIT
SOURCE: McKinsey Global Institute; McKinsey 2016 Digital Strategy Global Survey (n=2,135), Team analysis
Rule #2: ...value moves to new business models and favors fast movers
12McKinsey & Company
Estimated market share of new digital entrants
%, average over past 7 years
Media 26
25
18
17
16
15
14
13
8
8
High-tech
Telecom
Sample average
Healthcare
Retail
Banking and Financial
Services
Transport and logistics
Industrials
Consumer products
13McKinsey & Company
Rule #3: AI is widening the gap between winners and losers
SOURCE: McKinsey Global Institute
High tech and telecom
Financial services
Resources and utilities
Retail
Education
Health care
-10% +20%-5% 0% +5% +10% +15%
Non – AI adopters AI adopters with proactive strategy
Profit margin difference compared to industry average
14McKinsey & Company
Result: 80% of incumbents do not survive the transition
SOURCE : Klepper, S. (1996).“Exit, Entry, Growth, and Innovation over the Product LifeCycle,” American Economic Review, 86(3): 562-583
ILLUSTRATIVE
Market share, %
Incumbent
business model
New digital
business model
Tipping point
Danger
zone
Laggard
incumbents
Incumbents
finding niche
markets
Digital attackers
and agile
incumbents
80%
15McKinsey & Company
The new reality:
80% world
VS.
16McKinsey & Company
Section 3
“I thought if we hired
technology people, if we
upgraded our software,
things like that, that was it.
I was wrong. It’s infecting
everything we do”
– Jeff Immelt, Chairman and CEO of GE
17McKinsey & Company
Why is digital so hard to get right?
… incumbent’s economic
performance will significantly suffer
if they stay on their current path
80%
The goalposts keep
moving, forcing questions
on strategy and business models
It is unclear who should
own the digital
agenda
Acquiring and
releasing talent is painful
The risks are hard to assess
The business case
does not add up
Transformation
takes longer than
the time available
<10%
of companies have achieved the
expected value from the majority
of their digital initiatives
18McKinsey & Company
Challenge #1: We play in the past and defend…
SOURCE: McKinsey
Core only
Defend core
New core play
(new business
model)
New digital
enabled
diversification
How to play
Keep
portfolio
Expand Reduce
Adjust
portfolio
What to play
52% 18%
15% 15%
70%
30%
15% 30%
55%
45%
19McKinsey & Company
Challenge #2: …while offensive strategies yield better results
SOURCE: Bughin and Van Zeebroeack
Marginal financial effect (% per year)Digital platform
archetype
Digital play
archetype
Corporate
strategy archetype EBITRevenue
EBITRevenue
+5% +0-5%
-3-0% -2-0%
Corporate
strategy play
Offensive
strategy
Defensive
No
Platform
No
Platform
Rebundling/new
product play
No
Rebundling/new
product play
No
Corporate
strategy play
Offensive
strategy
15.5%
Defensive
84.5%
No
75.5%
Platform
9.0%
No
12.3%
Platform
3.3%
Rebundling/new
product play
1.5%
No
1.8%
Rebundling/new
product play
4.6%
No
4.4%
5.5
5.5
2.7
0.6
-3.3
-1.9
4.8
-1.4
2.9
0.5
-2.2
-1.4
Offensive
strategy
15.5%
Platform
3.3%
Rebundling/new
product play
1.5%
5.5 4.8
20McKinsey & Company
“In the past, a lot of CEOs
wished they had started
thinking sooner than they did
about their Internet strategy.
I think five years from now
there will be a number
of CEOs that will wish
they’d started thinking
earlier about their
AI strategy”
– Andrew Ng, AI thought leader
20McKinsey & Company
21McKinsey & Company
Cultural, talent and organizational challenges key barriers to achieving impact in
digital, ofby championing digitalPercent of observations why a transformation has failed
Challenge #3: For a company, it’s not about technology but about culture,
organization, and capabilities
Culture/
behavior
Poor
under-
standing
of trends
Lack of
talent
Organization Lack
ofIT
infrastructure
Lack of
funding
Rigid
business
process
Conflict
between
digital and
traditional
Lack of
data
Lack of
senior
support
36%
26% 25% 24% 23% 21% 19% 18%
13% 12%
22McKinsey & Company 22McKinsey & Company
Section 4
“Change is inevitable,
progress is optional” –
Finland at crossroads
23
Our work: Comprehensive assessment of
socioeconomics of AI and automation over 3-years
Workforce is broken down into
occupations…
1
Occupations
~400-800 in total
Retail sales persons1
Food and beverage
service workers2
Teachers3
Health practitioners4
423
Fishermen
and hunting workers
▪ ...
▪ …
▪ …
… which each contain
a number of tasks…
2
Tasks: Retail example
>2000 for all occupations
Answer questions about
products/
services
Clean and maintain work
areas
Demonstrate product
features
Greet customers
Process sales
and transactions
▪ ...
▪ …
▪ …
▪ ...
▪ …
▪ …
… which each require
a set of technical capa-
bilities, listed from 18 total
3
Technical capability assessment,
18 factors
Natural language
understanding
Sensory perception
Social and emotional sensing
Recognize known patterns
Fine motor skills/dexterity
Skill, task, and job level
technical automation
Adoption of AI technologies
Economic input / output
estimation
+ +
Source: McKinsey Global Institute
24McKinsey & Company
Impact of AI and Digital to our society grows 2–4x
1 Impacted through improved labor productivity
SOURCE: ITIF (November 28, 2016); Graetz et Michaels (2015); Evangelista et al. (2014); McKinsey analysis
New wave of
automation
+1.2–2.4%
Early web
technologies
+0.6%
Early robotics
+0.4%
GDP growth impact1, Percent per annum
25McKinsey & Company
Requirements for work change dramatically
Share of working hours by broad activity category
Change in % points, FTE time, 2003 to 2030
Reskilling
needs 2-4x
Share of
Digital jobs 2–4x
Skill
inequality 2–3x
33% 37%
49%
67% 63%
51%
100% =
2030
100
16
100 100
2003
Repetitive and
physical tasks
Interactions,
creativity,
leadership
Finland as innovator
+3.0%GDP/capita growth:
Net employment
impact: +5.1%
Finland is at a cross-roads
Protectionist Finland
+0.8%GDP/capita growth:
Net employment
impact: -0.5%
Low intensity of job creation
High intensity of job creation
Slow adoption Fast adoption
26McKinsey & Company
From Defender to an Attacker, Lari Hämäläinen, Managing Partner, McKinsey Digital & Analytics, Managing Partner
28McKinsey & Company
We have a fantastic base to build on
Digibarometri
2016 Utilization of
digital in society
#2
WEF Safest
countries 2016#1
Environmental
Performance
Index 2016
#1
Digital Economy and
Society Index for EU
countries 2016
#2
Freedom House
most free country in
the world 2017
#1
Corruption
Perceptions Index
2016
#3
IMD World Digital
Competitiveness
Ranking 2017
#4
Gender Equality
Index in Europe
2017
#3
Travel and
Tourism Safety
and Security 2017
#1
29McKinsey & Company
GDP 2006–16 constant 2010 USD , indexed 2006 = 100%
However, we have been beaten to the ground as a country
115
105
0
100
110
120
12 13
US
1507 09 2016
Sweden
14
European Union
Finland
1110082006
SOURCE: World Bank
30McKinsey & Company
Our companies have been fighting a defensive battle
SOURCE: McKinsey Global Institute (US peer TRS CAGR by degree of reallocation research on 1,508 US-based companies, period 1990–2010)
2.7
GermanySweden
12.5
11.3
Finland
Our companies have cut a lot
more workforce than peers
2009–13 as share of total work force for
largest listed companies, %
And we have not invested capital to new growth areas
2009-2014
16%
56%
28%Little or no
new
investments 25%
33%
42%
Finnish top companies
‘U.S. top companies
Small new
investments
Significant
new
investments
31McKinsey & Company
Example: Finnish investments in R&D have declined by 13% over
the last decade and we have lost position as an innovation leader
Finland
Belgium
Germany
US
Denmark
Japan
Israel
Austria
Sweden
Korea, Rep.
Iceland
Sweden
Hong Kong (China)
Switzerland
Denmark
Finland
Singapore
Netherlands
New Zealand
Norway
Switzerland
Sweden
Netherlands
US
UK
Denmark
Singapore
Finland
Germany
Ireland
R&D expenditure as % of GDP, top 10
countries in the world in 2015, %
Global Innovation Index rankings
top 10, 2009–10 and 2017, Rank #
SOURCE: World bank, The Global Innovation Index 2009-2010, 2017
2.0
0
1.5
4.5
3.5
4.0
2.5
3.0
150807 10 1309 1411 122006
Change
2006–15, %
-13
36
17
10
25
0
3
29
-7
49
2009–10 2017
32McKinsey & Company
Finland suffers from high level of unemployment given our cultural
and mindset barriers to mobility (and re-employment)
SOURCE: World Bank, Kauppalehti/Duunitori research Nov 15th, OECD Finland Fit for future 2013
“65% of Finns have
negative attitude towards
moving after work”
– Kauppalehti
10
8
12 14
10
2016082006
2
6
4
0
7
3
9
11 1309
1
07 15
11
5
European
Union
Sweden
US
Finland
“Rigidities in the labor
market in Finland are
hampering the smooth
reallocation of the
workforce”
– OECD
Unemployment 2006–16, % of workforce
1917 2017
Are we stuck in the trenches as a nation?
From Defender to an Attacker, Lari Hämäläinen, Managing Partner, McKinsey Digital & Analytics, Managing Partner
Net employment impact: -0.5%
▪Jobs replaced: -2% (~50,000)
▪New digital jobs: +1%
▪New non-digital jobs: +1%
Protectionist Finland
+0.8%GDP/capita growth:
Finland as innovator
Net employment impact: +5.1%
▪Jobs replaced: -28% (+700,000)
▪New digital jobs: +9%
▪New non-digital jobs: +25%
GDP/capita growth: +3.0%
36McKinsey & Company
Section 5
“Those who cannot
change their minds or
ways cannot change
anything”
37McKinsey & Company 37McKinsey & Company
Georg August Wallin
Explorer of the Orient,
19th century
SOURCE: Robert Wilhelm Ekman/Helsingin yliopistomuseo
Success factor #1: Dare
to explore despite uncertainty
38McKinsey & Company 38McKinsey & Company
Johan Tornensis
Exporter of reindeer economy
to Alaska, 19th century
SOURCE: University of Bergen Library
Success factor #2: Set a bold
aspiration and strategy
Holistic approach
to reinventing
the core
Reinvent your
business
architecture and
operating model
Think Ecosystem
and Partnerships
Strengthen your
foundation:
capabilities and
assets
39McKinsey & Company
Build differentiated
analytics
capabilities/assets
Build new business
models and
ecosystems
Success factor #2: Set a bold
aspiration and strategy
40McKinsey & Company
Karolina Eskelin
First female doctor of science
in Finland, founder of
hospitals, 19th & 20th century
Success factor #3:
Break the rules
40McKinsey & Company
41McKinsey & Company
Taylorism – Optimizing our organizations through
Efficiency focus
Expertise through deep specialization
“Divide, conquer, and delegate”
80% of organizations
have lost ability to
challenge status quo
Transformation will
only happen with
decisive actions
Success factor #3:
Break the rules
42McKinsey & Company
Success factor #3:
Break the rules
Break the silos –
enterprise-wide
agility
Invest – new talent,
leadership, and
change mgmt.
Be a Day-1
company – trade
certainty for speed
43McKinsey & Company 43McKinsey & Company
Olavi Maununpoika
To principal of Parisian university
of Sorbonne from an orphan from
Piikkiö, 15th century
Success factor #4:
Learn and let go
SOURCE: G.E. Bergroth, Suomen kirkko I (1902)
44McKinsey & Company 44McKinsey & Company
“It is not because things are
difficult that we do not dare,
it is because we do not dare
that they are difficult”
– Seneca
Success factor #4:
Learn and let go
45McKinsey & Company
Lari Hämäläinen
Managing Partner, Finland
McKinsey Digital & Analytics
+358 40 5241780
Lari@mckinsey.com
www.linkedin.com/in/larihamalainen

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From Defender to an Attacker, Lari Hämäläinen, Managing Partner, McKinsey Digital & Analytics, Managing Partner

  • 1. Lari Hämäläinen McKinsey Digital & Analytics Managing Partner, Finland November, 2017 From Defender to an Attacker – Call to Arms for Finland
  • 2. 2McKinsey & Company Reinventing the Core Data and Analytics Commercial processes Operations processes Back office processes What is “Digital” Digital is a new way of operating that materially improves performance by incorporating analytics, process digitization & mobile, and automation into day to day interactions with customers, employees, suppliers, and partners § New Businesses § New Channels § New Products § Value-added Services Reimagining New Business Models § Extreme winners and losers by industry § Radically reshaped customer to company interactions § Dramatically lower cost base driven by technology/labor tradeoffs across “processes” § Value transfer to the customer § Dislocations in the “role of the worker” The impact of digital Digitalization
  • 3. 3McKinsey & Company Eric Schmidt, Chairman Google Section 1 “I’ll bet the rest of my professional career that the future of your business is digital, big data and machine learning” Eric Schmidt, Chairman of Google 3McKinsey & Company
  • 4. Observation #1: Technology change is exponential 3D printing 2007 2014 40,000 100 400x Solar 1984 2014 30.00 0.16 200x DNA sequencing 2007 2014 10,000,000 1,000 10,000x Industrial robots 2008 2013 500,000 22,000 23x Sensors 2009 2014 20,000 250 250x Drones 2008 2013 100,000 700 142x 4McKinsey & Company
  • 5. 5McKinsey & Company Observation #2: We continue on exponential computing curve Calculations/ second/ USD 1,000 1060 1055 1050 1045 1040 1035 1030 1025 1020 1015 1010 105 1 10-5 10-10 1900 1920 1940 1960 1980 2000 2020 2040 2060 2080 2100 All human brains 1 human brain 1 mouse brain 1 insect brain Development of intelligent machines
  • 6. Machine Learning Computer Vision Language Virtual Assistants 5% 5% 5% 20% 2009 2015 <6% 1997 Speech Recognition Error Rate Deep Learning SOURCE: MMC Ventures; Nvidia; Internet research 5%5%5% 11% 28% 2010 <5% Image Recognition Error Rate Deep Learning Computer Human Observation #3: AI and automation are fundamentally changing the way we interact Robotics Language Computer Vision 6McKinsey & Company 2013 2015
  • 7. 7McKinsey & Company Observation #4: Investments into AI fueled by tech giants and North America – Europe falling behind Al investments USD bn, 2016 ~30 ~10Large Tech VC & PE AI external investments including VC, PE and M&A by corporations, 20161 USD bn (estimate) SOURCE: Capital IQ; Pitchbook; Dealogic; S&P; McKinsey Global Institute analysis 1 Estimates consist of annual VC investment in AI-focused companies, PE investment in AI-related companies, and M&A done by corporations. Includes only disclosed data available in databases, and assumes that all registered deals were completed within the year the transactions were announced. North America AsiaEurope 8.0 1.7 2.5
  • 8. SOURCE: McKinsey Global Institute Observation #5: Finland is still in the early days of AI while being one of the early adopters AdoptionofAIacrossinstitutions 8McKinsey & Company At scale across organization Piloting At scale in some parts Not at all 41% 60% 34% 26% 22% 10% 3% 4% Finland United States
  • 9. Section 2 “The trouble is you think you have time” 9McKinsey & Company
  • 10. 10McKinsey & Company Digitalization has been value destroying -6% Revenue -12% EBIT The digital leaders widen the gap +7% Revenue growth +2% EBIT Early movers have the advantage +6% Revenue growth +4% EBIT “Winner takes it all” SOURCE: McKinsey Global Institute
  • 11. 11McKinsey & Company -4.5 -6.0 -10.2 -12.1 1 Estimated effect via regression on EBIT and revenue growth of disruption Revenue EBIT SOURCE: MGI; McKinsey Digital Global Survey Effect 2013–16 % growth Rule #1: Digital destroys value for the incumbents… Expected effect 2016–20 % growth, estimated1 Revenue EBIT
  • 12. SOURCE: McKinsey Global Institute; McKinsey 2016 Digital Strategy Global Survey (n=2,135), Team analysis Rule #2: ...value moves to new business models and favors fast movers 12McKinsey & Company Estimated market share of new digital entrants %, average over past 7 years Media 26 25 18 17 16 15 14 13 8 8 High-tech Telecom Sample average Healthcare Retail Banking and Financial Services Transport and logistics Industrials Consumer products
  • 13. 13McKinsey & Company Rule #3: AI is widening the gap between winners and losers SOURCE: McKinsey Global Institute High tech and telecom Financial services Resources and utilities Retail Education Health care -10% +20%-5% 0% +5% +10% +15% Non – AI adopters AI adopters with proactive strategy Profit margin difference compared to industry average
  • 14. 14McKinsey & Company Result: 80% of incumbents do not survive the transition SOURCE : Klepper, S. (1996).“Exit, Entry, Growth, and Innovation over the Product LifeCycle,” American Economic Review, 86(3): 562-583 ILLUSTRATIVE Market share, % Incumbent business model New digital business model Tipping point Danger zone Laggard incumbents Incumbents finding niche markets Digital attackers and agile incumbents 80%
  • 15. 15McKinsey & Company The new reality: 80% world VS.
  • 16. 16McKinsey & Company Section 3 “I thought if we hired technology people, if we upgraded our software, things like that, that was it. I was wrong. It’s infecting everything we do” – Jeff Immelt, Chairman and CEO of GE
  • 17. 17McKinsey & Company Why is digital so hard to get right? … incumbent’s economic performance will significantly suffer if they stay on their current path 80% The goalposts keep moving, forcing questions on strategy and business models It is unclear who should own the digital agenda Acquiring and releasing talent is painful The risks are hard to assess The business case does not add up Transformation takes longer than the time available <10% of companies have achieved the expected value from the majority of their digital initiatives
  • 18. 18McKinsey & Company Challenge #1: We play in the past and defend… SOURCE: McKinsey Core only Defend core New core play (new business model) New digital enabled diversification How to play Keep portfolio Expand Reduce Adjust portfolio What to play 52% 18% 15% 15% 70% 30% 15% 30% 55% 45%
  • 19. 19McKinsey & Company Challenge #2: …while offensive strategies yield better results SOURCE: Bughin and Van Zeebroeack Marginal financial effect (% per year)Digital platform archetype Digital play archetype Corporate strategy archetype EBITRevenue EBITRevenue +5% +0-5% -3-0% -2-0% Corporate strategy play Offensive strategy Defensive No Platform No Platform Rebundling/new product play No Rebundling/new product play No Corporate strategy play Offensive strategy 15.5% Defensive 84.5% No 75.5% Platform 9.0% No 12.3% Platform 3.3% Rebundling/new product play 1.5% No 1.8% Rebundling/new product play 4.6% No 4.4% 5.5 5.5 2.7 0.6 -3.3 -1.9 4.8 -1.4 2.9 0.5 -2.2 -1.4 Offensive strategy 15.5% Platform 3.3% Rebundling/new product play 1.5% 5.5 4.8
  • 20. 20McKinsey & Company “In the past, a lot of CEOs wished they had started thinking sooner than they did about their Internet strategy. I think five years from now there will be a number of CEOs that will wish they’d started thinking earlier about their AI strategy” – Andrew Ng, AI thought leader 20McKinsey & Company
  • 21. 21McKinsey & Company Cultural, talent and organizational challenges key barriers to achieving impact in digital, ofby championing digitalPercent of observations why a transformation has failed Challenge #3: For a company, it’s not about technology but about culture, organization, and capabilities Culture/ behavior Poor under- standing of trends Lack of talent Organization Lack ofIT infrastructure Lack of funding Rigid business process Conflict between digital and traditional Lack of data Lack of senior support 36% 26% 25% 24% 23% 21% 19% 18% 13% 12%
  • 22. 22McKinsey & Company 22McKinsey & Company Section 4 “Change is inevitable, progress is optional” – Finland at crossroads
  • 23. 23 Our work: Comprehensive assessment of socioeconomics of AI and automation over 3-years Workforce is broken down into occupations… 1 Occupations ~400-800 in total Retail sales persons1 Food and beverage service workers2 Teachers3 Health practitioners4 423 Fishermen and hunting workers ▪ ... ▪ … ▪ … … which each contain a number of tasks… 2 Tasks: Retail example >2000 for all occupations Answer questions about products/ services Clean and maintain work areas Demonstrate product features Greet customers Process sales and transactions ▪ ... ▪ … ▪ … ▪ ... ▪ … ▪ … … which each require a set of technical capa- bilities, listed from 18 total 3 Technical capability assessment, 18 factors Natural language understanding Sensory perception Social and emotional sensing Recognize known patterns Fine motor skills/dexterity Skill, task, and job level technical automation Adoption of AI technologies Economic input / output estimation + + Source: McKinsey Global Institute
  • 24. 24McKinsey & Company Impact of AI and Digital to our society grows 2–4x 1 Impacted through improved labor productivity SOURCE: ITIF (November 28, 2016); Graetz et Michaels (2015); Evangelista et al. (2014); McKinsey analysis New wave of automation +1.2–2.4% Early web technologies +0.6% Early robotics +0.4% GDP growth impact1, Percent per annum
  • 25. 25McKinsey & Company Requirements for work change dramatically Share of working hours by broad activity category Change in % points, FTE time, 2003 to 2030 Reskilling needs 2-4x Share of Digital jobs 2–4x Skill inequality 2–3x 33% 37% 49% 67% 63% 51% 100% = 2030 100 16 100 100 2003 Repetitive and physical tasks Interactions, creativity, leadership
  • 26. Finland as innovator +3.0%GDP/capita growth: Net employment impact: +5.1% Finland is at a cross-roads Protectionist Finland +0.8%GDP/capita growth: Net employment impact: -0.5% Low intensity of job creation High intensity of job creation Slow adoption Fast adoption 26McKinsey & Company
  • 28. 28McKinsey & Company We have a fantastic base to build on Digibarometri 2016 Utilization of digital in society #2 WEF Safest countries 2016#1 Environmental Performance Index 2016 #1 Digital Economy and Society Index for EU countries 2016 #2 Freedom House most free country in the world 2017 #1 Corruption Perceptions Index 2016 #3 IMD World Digital Competitiveness Ranking 2017 #4 Gender Equality Index in Europe 2017 #3 Travel and Tourism Safety and Security 2017 #1
  • 29. 29McKinsey & Company GDP 2006–16 constant 2010 USD , indexed 2006 = 100% However, we have been beaten to the ground as a country 115 105 0 100 110 120 12 13 US 1507 09 2016 Sweden 14 European Union Finland 1110082006 SOURCE: World Bank
  • 30. 30McKinsey & Company Our companies have been fighting a defensive battle SOURCE: McKinsey Global Institute (US peer TRS CAGR by degree of reallocation research on 1,508 US-based companies, period 1990–2010) 2.7 GermanySweden 12.5 11.3 Finland Our companies have cut a lot more workforce than peers 2009–13 as share of total work force for largest listed companies, % And we have not invested capital to new growth areas 2009-2014 16% 56% 28%Little or no new investments 25% 33% 42% Finnish top companies ‘U.S. top companies Small new investments Significant new investments
  • 31. 31McKinsey & Company Example: Finnish investments in R&D have declined by 13% over the last decade and we have lost position as an innovation leader Finland Belgium Germany US Denmark Japan Israel Austria Sweden Korea, Rep. Iceland Sweden Hong Kong (China) Switzerland Denmark Finland Singapore Netherlands New Zealand Norway Switzerland Sweden Netherlands US UK Denmark Singapore Finland Germany Ireland R&D expenditure as % of GDP, top 10 countries in the world in 2015, % Global Innovation Index rankings top 10, 2009–10 and 2017, Rank # SOURCE: World bank, The Global Innovation Index 2009-2010, 2017 2.0 0 1.5 4.5 3.5 4.0 2.5 3.0 150807 10 1309 1411 122006 Change 2006–15, % -13 36 17 10 25 0 3 29 -7 49 2009–10 2017
  • 32. 32McKinsey & Company Finland suffers from high level of unemployment given our cultural and mindset barriers to mobility (and re-employment) SOURCE: World Bank, Kauppalehti/Duunitori research Nov 15th, OECD Finland Fit for future 2013 “65% of Finns have negative attitude towards moving after work” – Kauppalehti 10 8 12 14 10 2016082006 2 6 4 0 7 3 9 11 1309 1 07 15 11 5 European Union Sweden US Finland “Rigidities in the labor market in Finland are hampering the smooth reallocation of the workforce” – OECD Unemployment 2006–16, % of workforce
  • 33. 1917 2017 Are we stuck in the trenches as a nation?
  • 35. Net employment impact: -0.5% ▪Jobs replaced: -2% (~50,000) ▪New digital jobs: +1% ▪New non-digital jobs: +1% Protectionist Finland +0.8%GDP/capita growth: Finland as innovator Net employment impact: +5.1% ▪Jobs replaced: -28% (+700,000) ▪New digital jobs: +9% ▪New non-digital jobs: +25% GDP/capita growth: +3.0%
  • 36. 36McKinsey & Company Section 5 “Those who cannot change their minds or ways cannot change anything”
  • 37. 37McKinsey & Company 37McKinsey & Company Georg August Wallin Explorer of the Orient, 19th century SOURCE: Robert Wilhelm Ekman/Helsingin yliopistomuseo Success factor #1: Dare to explore despite uncertainty
  • 38. 38McKinsey & Company 38McKinsey & Company Johan Tornensis Exporter of reindeer economy to Alaska, 19th century SOURCE: University of Bergen Library Success factor #2: Set a bold aspiration and strategy
  • 39. Holistic approach to reinventing the core Reinvent your business architecture and operating model Think Ecosystem and Partnerships Strengthen your foundation: capabilities and assets 39McKinsey & Company Build differentiated analytics capabilities/assets Build new business models and ecosystems Success factor #2: Set a bold aspiration and strategy
  • 40. 40McKinsey & Company Karolina Eskelin First female doctor of science in Finland, founder of hospitals, 19th & 20th century Success factor #3: Break the rules 40McKinsey & Company
  • 41. 41McKinsey & Company Taylorism – Optimizing our organizations through Efficiency focus Expertise through deep specialization “Divide, conquer, and delegate” 80% of organizations have lost ability to challenge status quo Transformation will only happen with decisive actions Success factor #3: Break the rules
  • 42. 42McKinsey & Company Success factor #3: Break the rules Break the silos – enterprise-wide agility Invest – new talent, leadership, and change mgmt. Be a Day-1 company – trade certainty for speed
  • 43. 43McKinsey & Company 43McKinsey & Company Olavi Maununpoika To principal of Parisian university of Sorbonne from an orphan from Piikkiö, 15th century Success factor #4: Learn and let go SOURCE: G.E. Bergroth, Suomen kirkko I (1902)
  • 44. 44McKinsey & Company 44McKinsey & Company “It is not because things are difficult that we do not dare, it is because we do not dare that they are difficult” – Seneca Success factor #4: Learn and let go
  • 45. 45McKinsey & Company Lari Hämäläinen Managing Partner, Finland McKinsey Digital & Analytics +358 40 5241780 Lari@mckinsey.com www.linkedin.com/in/larihamalainen